Agents in production.Not in pilot.
We design, build and deploy AI agents for regulated enterprises. Voice and chat, knowledge, documents and workflows, running inside your cloud with guardrails from day one.
Six kinds of agent. One standard of build.
Bring a workflow that eats your team's time. We design the agent, connect it to your systems and stay with it after go-live.
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Voice & chat agents
Real-time assistants that listen, answer and act inside calls, chat and support channels.
meeting assistants · service desks · customer support
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Knowledge & RAG assistants
Answers grounded in your own documents and records, with the source cited every time.
policy search · internal Q&A · expert copilots
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Document AI
Invoices, forms, IDs and emails read, checked against your rules and routed to the right system.
accounts payable · onboarding · inbox triage
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Multi-agent workflows
Agents that plan, call tools and hand off to each other, with people approving the steps that matter.
case servicing · approvals · back-office operations
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Automation modernisation
Brittle bots and manual steps moved to API-first, agent-driven pipelines that are easier to run.
RPA to agents · verification checks · reconciliation
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Integration & data
Agents connected to the tools your teams already use, plus clean migrations when platforms change.
MCP servers · ERP and ticketing · platform migration
Where our agents already work.
We keep client names private. Here is the ground we have covered, by industry and by type of agent.
| Segment | Voice & chat | Knowledge & RAG | Document AI | Multi-agent | Automation | Integration & data |
|---|
Delivered in production for at least one client in that segment.
From whiteboard to working agent. In four steps.
- 01
Discover
We sit with the people doing the work and find where time and errors go. You get a ranked list of what to automate first.
- 02
Architect
Models, data flow, integrations and a security review, agreed before we write code.
- 03
Build
Short cycles with your users. Guardrails, PII handling and evaluations ship with the first version.
- 04
Deploy & support
Go-live in your environment, team training, monitoring and ongoing support.
Pilot to production
One workflow, fixed scope, taken from discovery to a live agent your team uses every day.
Dedicated agent pod
A small senior team on one stack, working alongside yours through a roadmap of agents.
AI enablement
Tool selection, rollout, usage tracking and support for teams adopting AI assistants and agents.
Built for teams with auditors.
Most of our work runs in banking, insurance and healthcare. Every agent we ship carries the same baseline.
- Content-safety guardrailsInputs and outputs screened before they reach anyone.
- PII detection and maskingSensitive data found and handled before it reaches a model.
- Your cloud, your regionDeployed inside your own Azure, AWS or Google Cloud tenant.
- Predictable actionsTyped tool calls and checked outputs keep agents on script.
- People in the loopApproval steps wherever a decision carries real risk.
- Compliance-aware deliveryExperience with GDPR, HIPAA and insurance data rules.
Claude, GPT, Gemini and open models, chosen per workload
LangGraph, CrewAI, LangChain
Azure AI Foundry, AWS Bedrock, Google Cloud
Microsoft Teams, Jira, ERPs, CRMs, REST and GraphQL APIs, MCP
Questions we hear first.
Where does our data go?
It stays in your cloud tenant and region. We build on your own Azure, AWS or Google Cloud account, and sensitive data is masked before it reaches a model.
Can agents work with our older systems?
Yes. A lot of our background is automation on legacy platforms. We connect through APIs where they exist and through automation where they don't.
How long until something is live?
It depends on the workflow and your approvals process. A focused first agent usually goes from discovery to production in weeks, not quarters. We give you a dated plan after discovery.
Which AI model do you use?
Whichever fits the job. We compare models on accuracy, speed, cost and where your data may be processed, and can switch later without a rebuild.
Do you support agents after launch?
Yes. We offer ongoing support and monitoring, or we train your team to run the agent themselves.
Bring one workflow. We'll show you the agent.
Tell us how the work gets done today. We'll come back with what an agent would change and what it takes to ship it.
- 01We reply within one business day.
- 02A 30-minute discovery call about your workflow.
- 03A short written proposal with scope and timeline.